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Numerical and experimental investigations of human swimming motions.
Takagi, Hideki; Nakashima, Motomu; Sato, Yohei; Matsuuchi, Kazuo; Sanders, Ross H.
Afiliação
  • Takagi H; a Faculty of Health and Sport Sciences , University of Tsukuba , Tsukuba , Ibaraki , Japan.
  • Nakashima M; b Department of Mechanical and Control Engineering , Tokyo Institute of Technology , Tokyo , Japan.
  • Sato Y; c Nuclear Energy and Safety , Paul Scherrer Institute , Villigen , Switzerland.
  • Matsuuchi K; d Emeritus Professor, University of Tsukuba , Tsukuba , Ibaraki , Japan.
  • Sanders RH; e Exercise and Sport Science , The University of Sydney , Sydney , Australia.
J Sports Sci ; 34(16): 1564-80, 2016 Aug.
Article em En | MEDLINE | ID: mdl-26699925
ABSTRACT
This paper reviews unsteady flow conditions in human swimming and identifies the limitations and future potential of the current methods of analysing unsteady flow. The capability of computational fluid dynamics (CFD) has been extended from approaches assuming steady-state conditions to consideration of unsteady/transient conditions associated with the body motion of a swimmer. However, to predict hydrodynamic forces and the swimmer's potential speeds accurately, more robust and efficient numerical methods are necessary, coupled with validation procedures, requiring detailed experimental data reflecting local flow. Experimental data obtained by particle image velocimetry (PIV) in this area are limited, because at present observations are restricted to a two-dimensional 1.0 m(2) area, though this could be improved if the output range of the associated laser sheet increased. Simulations of human swimming are expected to improve competitive swimming, and our review has identified two important advances relating to understanding the flow conditions affecting performance in front crawl swimming one is a mechanism for generating unsteady fluid forces, and the other is a theory relating to increased speed and efficiency.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Natação / Simulação por Computador / Modelos Biológicos / Movimento Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Natação / Simulação por Computador / Modelos Biológicos / Movimento Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article